Articles | Volume 21, issue 2
https://doi.org/10.5194/acp-21-773-2021
https://doi.org/10.5194/acp-21-773-2021
Research article
 | 
20 Jan 2021
Research article |  | 20 Jan 2021

Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns

Marc Guevara, Oriol Jorba, Albert Soret, Hervé Petetin, Dene Bowdalo, Kim Serradell, Carles Tena, Hugo Denier van der Gon, Jeroen Kuenen, Vincent-Henri Peuch, and Carlos Pérez García-Pando

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marc Guevara on behalf of the Authors (07 Nov 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (16 Nov 2020) by Qiang Zhang
RR by Anonymous Referee #2 (27 Nov 2020)
ED: Publish as is (01 Dec 2020) by Qiang Zhang
AR by Marc Guevara on behalf of the Authors (04 Dec 2020)
Download
Short summary
Most European countries have imposed lockdowns to combat the spread of the COVID-19 pandemic. Such a socioeconomic disruption has resulted in a sudden drop of atmospheric emissions and air pollution levels. This study quantifies the daily reductions in national emissions and associated levels of nitrogen dioxide (NO2) due to the COVID-19 lockdowns in Europe, by making use of multiple open-access measured activity data as well as artificial intelligence and modelling techniques.
Altmetrics
Final-revised paper
Preprint